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Multisource spatiotemporal analysis of cropping patterns on dry upland: A case study in Rubaru Sub-district, Sumenep Regency 干旱高地种植模式的多源时空分析:苏梅尼普县鲁巴鲁分区案例研究
IF 6.4 3区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-04-26 DOI: 10.1016/j.ejrs.2024.04.008
Fadhlullah Ramadhani , Elza Surmaini , Ai Dariah , Yayan Apriyana , Woro Estiningtyas , Erni Susanti , Rahmah Dewi Yustika , Yeli Sarvina , Yudi Riadi Fanggidae , Nurjaya Nurjaya

Dry upland agriculture is vital for securing food production in several countries. However, the research on evaluating cropping patterns using remote sensing techniques is completely neglected due to several factors such as the availability of clean imagery and the complexity of the landscape. This research primarily focused on the evaluation of data availability from three different satellite imageries: Sentinel-2, Landsat-8, and MODIS. The consistently high data availability demonstrated by Sentinel-2 established its potential as a reliable source for gap-filling analysis in remote sensing studies. Using a classification model, various land cover types were identified with an overall accuracy of 86.4%, indicating the model's efficiency in accurately classifying these areas. This research also analyzed the detailed cropping patterns, revealing seven distinct temporal cultivation patterns of various crops. This period is strategically positioned between the cultivation of maize, which spans an area of 5,943 ha in December, January, and February, suggesting a potential crop rotation system. The rotation indicated that nearly 83.7% of the cultivated land was planted between maize and shallot throughout the year. The study emphasizes the significance of continuous monitoring and adaptive management in agriculture to ensure sustainability and productivity.

旱地高原农业对确保一些国家的粮食生产至关重要。然而,由于清洁图像的可用性和地貌的复杂性等因素,利用遥感技术评估种植模式的研究完全被忽视。这项研究主要侧重于评估三种不同卫星图像的数据可用性:哨兵-2 号、大地遥感卫星-8 号和 MODIS。哨兵-2 号卫星始终保持较高的数据可用性,使其有可能成为遥感研究中填补空白分析的可靠来源。利用分类模型,确定了各种土地覆被类型,总体准确率为 86.4%,表明该模型在准确划分这些区域方面的效率很高。这项研究还分析了详细的耕作模式,揭示了各种作物的七种不同的时间耕作模式。在 12 月、1 月和 2 月,玉米的种植面积达到 5943 公顷,这一时期处于玉米种植的战略位置,表明可能存在轮作系统。轮作表明,全年有近 83.7% 的耕地种植玉米和大葱。这项研究强调了持续监测和适应性管理对农业确保可持续性和生产力的重要意义。
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引用次数: 0
Dark-object subtraction atmosphere correction for water body information extraction in Zhuhai-1 hyperspectral imagery 珠海一号高光谱图像中水体信息提取的暗物减影大气校正
IF 6.4 3区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-04-25 DOI: 10.1016/j.ejrs.2024.04.007
Yu Guo , Ruru Deng , Yan Yan , Jiayi Li , Zhenqun Hua , Jing Wang , Yuming Tang , Bin Cao , Yeheng Liang

The atmospheric correction of hyperspectral data stands as a fundamental step in quantitative applications, crucial for the accurate analysis of hyperspectral information. Zhuhai-1 hyperspectral data, characterized by its high spatial and spectral resolution, holds substantial potential and advantages for the quantification of water body information. Nonetheless, the adoption of more precise physical models for atmospheric correction often demands extensive satellite and ground environmental parameters, which pose practical challenges in applying physical models The Dark Object Subtraction (DOS), leveraging the intrinsic spectral characteristics of the imagery, offers an efficient alternative for achieving improved atmospheric correction results tailored to the data and study area. In this context, this study presents a Dark Object Subtraction for Water body information extraction (DOSW), specifically designed to advance the quantification of water body information in Zhuhai-1 hyperspectral data. The proposed method is rigorously evaluated by comparing the correction results from the Foshan region and Feilaixia Reservoir with standard and measured spectra of typical objects. The results demonstrate the accuracy of DOSW in atmospheric correction, with correlation coefficients exceeding 0.7 when compared to standard spectra for three representative objects. Notably, DOSW achieves exceptional accuracy in water body correction, achieving a correlation coefficient of 0.95 and an RMSE of 0.002 in the Feilaixia Reservoir, and a correlation coefficient of 0.72 and an RMSE of 0.005 in the Foshan region. Overall, the results underscore the efficacy of DOSW in accurately addressing atmospheric correction challenges to Zhuhai-1 hyperspectral data, effectively meeting the requirements of hyperspectral quantification applications.

高光谱数据的大气校正是定量应用的基本步骤,对于高光谱信息的准确分析至关重要。珠海一号高光谱数据具有空间和光谱分辨率高的特点,在量化水体信息方面具有巨大的潜力和优势。然而,采用更精确的物理模型进行大气校正往往需要大量的卫星和地面环境参数,这给物理模型的应用带来了实际挑战。在此背景下,本研究提出了一种水体信息提取暗物减法(DOSW),专门用于推进珠海一号高光谱数据中水体信息的量化。通过将佛山地区和飞来峡水库的校正结果与典型物体的标准光谱和实测光谱进行比较,对所提出的方法进行了严格评估。结果证明了 DOSW 在大气校正方面的准确性,与三个代表性物体的标准光谱相比,相关系数超过 0.7。值得注意的是,DOSW 在水体校正方面的精度也非常高,在飞来峡水库的相关系数为 0.95,有效误差为 0.002;在佛山地区的相关系数为 0.72,有效误差为 0.005。总之,研究结果表明,DOSW 能够准确地解决珠海一号高光谱数据所面临的大气校正难题,有效地满足了高光谱定量应用的要求。
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引用次数: 0
Estimation of Surface Ice Velocity of Durung Drung Glacier, Western Himalaya using COSI-Corr from Landsat images 利用大地遥感卫星图像的 COSI-Corr 估计西喜马拉雅山脉 Durung Drung 冰川的地表冰速
IF 6.4 3区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-04-23 DOI: 10.1016/j.ejrs.2024.04.006
Avtar Singh Jasrotia , Suhail Ahmad , Qamer Ridwan , Zishan Ahmad Wani , Sazada Siddiqui , Ayesha Siddiqua , Ekhlas Ali Morfeine aika

Glaciers all over the world have been experiencing recession at varying rates. Alterations in glacial retreat, volume, and mass have direct implications for sea level rise and have implications for the overall health of glaciers. Measuring the surface ice velocity of glaciers presents challenges due to the rugged terrain and harsh climate at high altitudes, making field observations difficult. This study aims to address these challenges by focusing on the calculation of the surface ice velocity of the Durung Drung glacier in Zanskar Valley, Ladakh. Landsat- 7 & 8 panchromatic bands with a resolution of 15 m were used in conjunction with the COSI-Corr module of ENVI image processing software to derive surface ice velocity. The method involved the crosscorrelation of Landsat images from 1999/2000 and 2019/2020. The COSI-Corr module used in this study provided three key outputs: east–west displacement, north–south displacement, and signal-to-noise ratio. These outputs are essential for understanding the movement of the glacier and evaluating the quality of the image correlation. The results indicate that the surface velocity of Durung Drung glacier was 71 ± 6.1 m yr−1 in 1999/2000, which increased (by ∼ 50 %) to 140 ± 7.4 m yr−1 in 2019/2020. An increasing trend in velocity manifests the rising trend in temperature in the western Himalaya. Analysis of CRU TS4 gridded data reveals an increase in temperature while precipitation decreased during 1976–2020. The study recommends that the annual variations in surface ice velocity are a consequence of temperature fluctuations that influence the availability of meltwater.

世界各地的冰川都在以不同的速度衰退。冰川退缩、体积和质量的变化对海平面上升有直接影响,对冰川的整体健康也有影响。由于高海拔地区地形崎岖、气候恶劣,实地观测困难重重,因此测量冰川表面冰速是一项挑战。本研究旨在通过重点计算拉达克赞斯卡尔山谷 Durung Drung 冰川的表面冰速来应对这些挑战。研究使用了分辨率为 15 米的 Landsat- 7 & 8 全景波段和 ENVI 图像处理软件的 COSI-Corr 模块来计算冰川表面的冰速。该方法包括对 1999/2000 年和 2019/2020 年的陆地卫星图像进行交叉相关。本研究中使用的 COSI-Corr 模块提供了三个关键输出:东西位移、南北位移和信噪比。这些输出结果对于了解冰川运动和评估图像相关性的质量至关重要。结果表明,1999/2000 年,杜隆德隆冰川的地表速度为 71 ± 6.1 米/年-1,到 2019/2020 年,速度增加到 140 ± 7.4 米/年-1(增加了 50%)。流速的上升趋势反映了喜马拉雅山西部温度的上升趋势。对 CRU TS4 栅格数据的分析表明,1976-2020 年期间,气温上升,而降水减少。研究建议,地表冰速的年度变化是温度波动影响融水供应的结果。
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引用次数: 0
Implementation of a UAV-aided calibration method for a mobile dual-polarization weather radar 为移动式双偏振天气雷达实施无人机辅助校准方法
IF 6.4 3区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-04-23 DOI: 10.1016/j.ejrs.2024.04.005
Giorgio Buckingham , Mario De La Cruz , Danny Scipion , Juan C. Espinoza , Joab Apaza , Guillermo Kemper

Weather radar calibration is a crucial factor to be considered for quantitative applications, such as QPE (Quantitative Precipitation Estimation), which is used as input for weather risks management. The present work proposes a novel approach to the end-to-end radar calibration method through the characterization of the radar weighting functions. These are Gaussian functions that model an additional attenuation factor to the radar received power. This approach, based on the inclusion these parameters, allow the obtainment of a calibrated equivalent reflectivity factor expression for a Doppler dual-polarization weather radar that operates in the X band. To calculate these parameters, a UAS (Unmanned Aircraft System) was implemented for suspending the calibration target with a well-defined cross-section and for measuring its inclination due to wind using an IMU (Inertial Measurement Unit). From its measurements, the position of the target can be estimated, which is essential to the characterization of the weighting functions. Their inclusion within the radar equation, alongside the implementation of the angular measurement system highlight the innovation to the traditional radar calibration methodology that does not contemplate them from the explored state-of-the-art. The reflectivity was compared with the measurements from a disdrometer for a moderate rain event. An average reflectivity difference of 0.75 dBZ and a percent bias of 3.3 % were obtained between the expected and estimated measurements when including these functions compared to the 1.51 dBZ and –62.7 % obtained when disregarding them. These experimental results point out that the proposed method can deliver superior accuracy in the reflectivity estimation.

天气雷达校准是定量应用(如 QPE(定量降水估算))需要考虑的一个关键因素,它被用作天气风险管理的输入。本研究通过对雷达加权函数进行表征,为端到端雷达校准方法提出了一种新方法。这些高斯函数可模拟雷达接收功率的附加衰减系数。这种方法以包含这些参数为基础,可以获得在 X 波段工作的多普勒双极化天气雷达的校准等效反射系数表达式。为了计算这些参数,采用了无人驾驶航空器系统(UAS)来悬挂具有明确横截面的校准目标,并使用惯性测量单元(IMU)测量其受风力影响的倾斜度。根据测量结果,可以估算出目标的位置,这对于确定加权函数的特性至关重要。将其纳入雷达方程以及角度测量系统的实施,凸显了对传统雷达校准方法的创新,因为传统雷达校准方法没有考虑到这些最新技术。在一次中雨事件中,反射率与测距仪的测量值进行了比较。当包含这些函数时,预期测量值和估计测量值之间的平均反射率差值为 0.75 dBZ,偏差百分比为 3.3%,而不包含这些函数时,平均反射率差值为 1.51 dBZ,偏差百分比为-62.7%。这些实验结果表明,建议的方法可以提供更高精度的反射率估算。
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引用次数: 0
Exploring the potentiality of InSAR data to estimate land subsidence of the Nile Delta 探索 InSAR 数据估算尼罗河三角洲土地沉降的潜力
IF 6.4 3区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-04-20 DOI: 10.1016/j.ejrs.2024.03.009
Islam Abou El-Magd , Mohamed Zakzouk , Elham M Ali , Michael Foumelis , Jose Manuel Delgado Blasco

Nile Delta has been historically targeted for various types of human activities since the Pharaohs’ era due to abundance of its natural resources. The increasing land subsidence in the northern delta is a significant concern for the Egyptian government. Moreover, the cumulative subsidence coupled with the scenarios of sea level rise worsens the situation. In the present work, we utilize SNAPPING service on the Geohazards Exploitation Platform (GEP) to measure the spatial and temporal trends, as well as the extent of subsidence in urban areas within the Nile Delta. The study analyzed the period between 2015 and 2020 using 225 Copernicus Sentinel-1 radar imagery using the Persistent Scatterers Interferometry (PSI) technique and reported surface motion with an average of −5 mm/year in the Nile Delta surface. Subsidence is relatively higher in the eastern part with more patterns specific to particular regions. The northern part recorded subsidence ranged from 0 to 7 mm/year. High rates of subsidence up to 17 mm/year localized in locations of Port Said, Damietta, Ad Dakahlia and Al Sharkia governorates and around Manzala Lake. On the other side, medium uplift rates up to 6 mm/year concentrated around Bardaweel Lake, Parts of Ismailia governorate and Baltim city. On-site visual inspections in these areas documented tilting in buildings and clear cracks which confirm the impact of land subsidence on the structural integrity of the buildings. The GEP platform and the SNAPPING service demonstrated the capability of cloud-based solutions to provide precise surface motion information within a short time.

自法老时代起,尼罗河三角洲就因其丰富的自然资源而成为各种人类活动的目标。三角洲北部日益严重的土地沉降是埃及政府非常关注的问题。此外,累积沉降加上海平面上升的情况使情况更加恶化。在本研究中,我们利用地质灾害开发平台(GEP)上的 SNAPPING 服务来测量尼罗河三角洲内城市地区的空间和时间趋势以及沉降范围。该研究使用持久散射体干涉测量(PSI)技术,利用 225 个哥白尼哨兵-1 雷达图像分析了 2015 年至 2020 年期间的情况,并报告了尼罗河三角洲地表平均每年-5 毫米的地表运动。东部地区的沉降相对较高,特定区域的沉降模式更多。北部地区记录的下沉幅度为 0 至 7 毫米/年。在塞得港、达米埃塔、达卡利亚和沙尔基亚省以及曼扎拉湖周围地区,沉降速率高达 17 毫米/年。另一方面,巴达维尔湖周围、伊斯梅利亚省部分地区和巴尔蒂姆市的中等隆起率高达 6 毫米/年。在这些地区进行的现场目视检查记录了建筑物的倾斜和明显的裂缝,证实了土地沉降对建筑物结构完整性的影响。GEP 平台和 SNAPPING 服务展示了基于云的解决方案在短时间内提供精确地表运动信息的能力。
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引用次数: 0
Remote sensing for UN SDGs: A global analysis of research and collaborations 遥感促进联合国可持续发展目标:全球研究与合作分析
IF 6.4 3区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-04-10 DOI: 10.1016/j.ejrs.2024.04.002
Omer Ekmen , Sultan Kocaman

The Sustainable Development Goals (SDGs) provide a policy-making baseline for countries to overcome shortcomings and barriers for people and the planet Earth by 2030. Remote sensing (RS) enables evidence-based policy making and can contribute to realization of the SDGs by monitoring the indicators and evaluating the targets related to human and physical geography. This study exploited the RS research concerning the SDGs based on a Web of Science Core Collection database query [TS=((“remote sensing” OR “Earth observation*”) AND (“Sustainable Development Goal*”))] between 2016 and 2022 and by utilizing an artificial intelligence tool developed for SDG classification. We retrieved and analyzed articles (n = 308) using science mapping techniques. Remote Sensing is the most relevant journal publishing articles related to this theme. While the dominance of Chinese institutes in terms of authors' affiliation is clear, the highest collaboration network is between the USA and China. Our findings revealed that subjects related to carbon storage, ecological quality and impervious surface draw attention of researchers increasingly and becoming trend topics. From the SDG classification results, SDG 15 and SDG 11 emerged as the most prevalent subjects related to the RS research. Given the exponential increase in the number of studies, we recommend to employ bibliometric analysis and science mapping tools to systematically identify research patterns and gaps in both fields, as manual efforts may progressively become challenging.

可持续发展目标(SDGs)为各国到 2030 年克服人类和地球面临的不足和障碍提供了决策基线。遥感技术(RS)有助于制定以证据为基础的政策,并通过监测与人文和自然地理相关的指标和评估目标,为实现可持续发展目标做出贡献。本研究利用 2016 年至 2022 年期间与可持续发展目标有关的遥感研究,基于科学网核心数据库查询[TS=(("遥感 "或 "地球观测*")和("可持续发展目标*"))],并利用为可持续发展目标分类开发的人工智能工具。我们利用科学绘图技术检索并分析了文章(n = 308)。遥感》是发表与该主题相关文章最多的期刊。从作者所属机构来看,中国研究机构的优势非常明显,而中美之间的合作网络最高。我们的研究结果表明,与碳储存、生态质量和不透水表面相关的主题越来越受到研究人员的关注,并成为趋势性话题。从可持续发展目标的分类结果来看,可持续发展目标 15 和可持续发展目标 11 成为与 RS 研究相关的最热门主题。鉴于研究数量呈指数级增长,我们建议采用文献计量分析和科学绘图工具来系统识别这两个领域的研究模式和差距,因为人工工作可能会逐渐变得具有挑战性。
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引用次数: 0
Analyzing high temporal-resolution of GNSS-based ionospheric VTEC over Nigeria 分析尼日利亚上空基于全球导航卫星系统的电离层 VTEC 的高时间分辨率
IF 6.4 3区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-04-08 DOI: 10.1016/j.ejrs.2024.03.006
Solomon O. Faruna , Dudy D. Wijaya , Bambang Setyadji , Irwan Meilano , Aditya K. Utama , Daniel Okoh

This study focuses on high-temporal-resolution Vertical Total Electron Content (VTEC) estimation over Nigeria, which is crucial for enhancing satellite-based applications. Utilizing RINEX, IONEX, and SP3 data from 2011 across 10 stations, the research integrates a novel VTEC model (LIMS) based on orthogonal transformation, achieving an unprecedented 10-minute temporal resolution sampling. The model incorporates multi-Global Navigation Satellite Systems (GNSS) constellations. Geomagnetic and solar activity impact assessments involve the Ap index, sunspot number, and DSt index. Specifically, the DSt index for March 16–18, 2015, analyzes the geomagnetic storm of St Patrick’s Day. Validation compares LIMS with International GNSS Service (IGS), Center for Orbit Determination in Europe (CODE), and International Reference Ionosphere (IRI-2020) estimates, showing strong correlations during various conditions. Daily VTEC patterns reveal the lowest values in the early morning, a midday peak, occasional double peaks, secondary maximum, and post-sunset enhancements, especially during equinoxes. Seasonal analysis highlights the highest mean VTEC in September Equinox and December Solstice, and the lowest during June Solstice. Spectral analysis identifies prominent diurnal, semi-diurnal, and sub-diurnal frequency components. This research significantly advances the understanding of VTEC in Nigeria, offering a valuable tool for precise positioning, satellite communication, and space weather forecasting. Notably, 9 stations processed 2011 data, while one station from this group and an additional station were used for a 3-day storm analysis in 2015 due to data availability.

本研究的重点是尼日利亚上空的高时间分辨率垂直总电子含量(VTEC)估算,这对提高卫星应用至关重要。研究利用 2011 年 10 个站点的 RINEX、IONEX 和 SP3 数据,整合了基于正交变换的新型 VTEC 模型(LIMS),实现了前所未有的 10 分钟时间分辨率采样。该模型包含多个全球导航卫星系统(GNSS)星座。地磁和太阳活动影响评估涉及 Ap 指数、太阳黑子数和 DSt 指数。具体而言,2015 年 3 月 16-18 日的 DSt 指数分析了圣帕特里克节的地磁暴。验证将 LIMS 与国际全球导航卫星系统服务(IGS)、欧洲轨道测定中心(CODE)和国际参考电离层(IRI-2020)的估计值进行比较,显示在各种条件下都有很强的相关性。每日的 VTEC 模式显示清晨的最低值、正午的峰值、偶尔的双峰、二次最大值和日落后的增强,尤其是在春分时节。季节分析显示,9 月分和 12 月至时的平均 VTEC 值最高,6 月至时最低。频谱分析确定了突出的昼夜、半昼夜和次昼夜频率成分。这项研究极大地促进了对尼日利亚 VTEC 的了解,为精确定位、卫星通信和空间天气预报提供了宝贵的工具。值得注意的是,9 个站点处理了 2011 年的数据,而由于数据可用性的原因,该组中的一个站点和另一个站点被用于 2015 年的 3 天风暴分析。
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引用次数: 0
Environmental studies of the Khorramrood River in Iran, based on transformed high-resolution remotely sensed spectroscopic data 基于转化的高分辨率遥感光谱数据的伊朗霍拉姆鲁德河环境研究
IF 6.4 3区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-04-05 DOI: 10.1016/j.ejrs.2024.03.008
Paria Darvishi , Danya Karimi

An investigation was conducted on the Khorramrood River in Iran to evaluate pollution levels resulting from human activities. Water samples were collected from eleven stations and analyzed for four parameters: pH, temperature, dissolved oxygen (DO), and nitrate (NO3). Additionally, a biodiversity assessment of macroinvertebrates was conducted to evaluate water quality. Eleven invertebrate families from seven classes were identified, with Chironomidae and Baetidae as the predominant groups, suggesting a significant deterioration in water quality. As the first objective, water quality assessment using macroinvertebrates was done using two diversity indices (Shannon-Wiener and Simpson) and four biotic indices (ASPT, FBI, EPT, and BMWP). The results consistently indicated poor water quality in the river. These findings are consistent with the conclusions drawn from the analysis of physicochemical parameters, which is the second objective, and both confirm inadequate water quality. As a part of the last objective, to map the physicochemical parameters, three scenarios were used. They involved utilizing a transformed high-resolution PRISMA image, a traditional method with Landsat 9 images, and a fusion of Landsat 9 and PRISMA images. The first scenario produced the most accurate results (RMSE = 0.624, 0.942, 0.167, and 0.98 for DO, NO3, pH, and temperature. respectively). Mapping biodiversity indices, another part of the last objective, using the transformed pan-sharpened PRISMA image proved highly reliable. A strong correlation was observed between most indices and the DO (CR = 0.972, −0.496, −0.973, and −0.978 for Simpson, EPT, BMWP, and ASPT, respectively), indicating the significant influence of DO on the river's biological state.

对伊朗霍拉姆鲁德河进行了一项调查,以评估人类活动造成的污染程度。从 11 个站点采集了水样,并分析了四个参数:pH 值、温度、溶解氧 (DO) 和硝酸盐 (NO3)。此外,还对大型无脊椎动物的生物多样性进行了评估,以评价水质。共发现七类十一个无脊椎动物科,其中摇蚊科(Chironomidae)和蝙蝠科(Baetidae)是主要的无脊椎动物科,这表明水质严重恶化。作为第一个目标,利用两种多样性指数(香农-维纳指数和辛普森指数)和四种生物指数(ASPT、FBI、EPT 和 BMWP)对大型无脊椎动物进行了水质评估。结果一致表明河流水质较差。这些结果与第二个目标--理化参数分析得出的结论一致,都证实了水质不佳。作为最后一个目标的一部分,为绘制理化参数图,采用了三种方案。它们包括利用转换后的高分辨率 PRISMA 图像、利用 Landsat 9 图像的传统方法以及 Landsat 9 和 PRISMA 图像的融合。第一种方案得出的结果最为准确(溶解氧、三氧化二氮、pH 值和温度的 RMSE 分别为 0.624、0.942、0.167 和 0.98)。生物多样性指数是最后一个目标的另一部分,使用转换后的全景锐化 PRISMA 图像绘制生物多样性指数证明非常可靠。大多数指数与溶解氧之间都存在很强的相关性(辛普森指数、EPT 指数、BMWP 指数和 ASPT 指数的相关性分别为 0.972、-0.496、-0.973 和-0.978),这表明溶解氧对河流的生物状态具有重要影响。
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引用次数: 0
Segment-driven anomaly detection in hyperspectral data using watershed technique 利用分水岭技术在高光谱数据中进行分段驱动的异常检测
IF 6.4 3区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-04-04 DOI: 10.1016/j.ejrs.2024.03.007
Mohamad Ebrahim Aghili, Maryam Imani, Hassan Ghassemian

A significant portion of hyperspectral image (HSI) analysis involves detecting anomalous pixels, which are indicative of interesting phenomena or objects. One of the main challenges is the presence of outlier and noisy pixels in background data due to the variety of spectral signatures in heterogeneous HSIs. This article presents an effective approach using both spectral and spatial features for anomaly detection. The median filter with an appropriate size driven by using the principal component information is used for cleaning the background. Then, the image is segmented using the watershed approach. The anomaly detection occurs based on the spatial resolution by calculating each pixel's distance from its segment via spectral angle or Euclidean distance. The proposed Watershed Anomaly Detector (WAD), employs spatial features to segment the HSI properly. It also uses spectral features within each segment to detect anomalous pixels. The WAD outperforms other methods due to its simplicity and conceptual clarity. Notably, its underlying equation offers broader applicability for HSI segmentation tasks. Experiments on three benchmark datasets show WAD achieves higher accuracy and faster execution versus state-of-the-art techniques. On average across the datasets and methods, WAD attained a 6.45% higher area under the receiver operating characteristic (ROC) curve and ran 26.95 s faster than other detectors. The WAD effectively detects anomalies in varied spectral and spatial resolutions. The results highlight the stability, robustness and computational efficiency of the proposed approach across diverse data. The simultaneous effectiveness and efficiency make WAD well-suited for near real-time anomaly detection applications.

高光谱图像(HSI)分析的一个重要部分是检测异常像素,这些像素表明了有趣的现象或物体。主要挑战之一是由于异构高光谱图像中光谱特征的多样性,背景数据中存在离群像素和噪声像素。本文提出了一种利用光谱和空间特征进行异常检测的有效方法。利用主成分信息驱动适当大小的中值滤波器来清理背景。然后,使用分水岭方法对图像进行分割。异常检测基于空间分辨率,通过光谱角或欧氏距离计算每个像素与其分段的距离。所提出的分水岭异常检测器(WAD)利用空间特征对恒星图像进行适当分割。它还利用每个分段内的光谱特征来检测异常像素。WAD 因其操作简单、概念清晰而优于其他方法。值得注意的是,它的基本方程为 HSI 分割任务提供了更广泛的适用性。在三个基准数据集上的实验表明,与最先进的技术相比,WAD 的准确率更高,执行速度更快。在所有数据集和方法中,WAD 的接收器操作特征曲线(ROC)下面积平均高出 6.45%,运行速度比其他检测器快 26.95 秒。WAD 能有效检测不同光谱和空间分辨率下的异常。这些结果凸显了所提出的方法在不同数据中的稳定性、鲁棒性和计算效率。同时具备的有效性和效率使 WAD 非常适合近实时异常检测应用。
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引用次数: 0
Modeling the effect of LULC change on water quantity and quality in Big Creek Lake Watershed, South Alabama USA 模拟 LULC 变化对美国南阿拉巴马州大溪湖流域水量和水质的影响
IF 6.4 3区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-04-02 DOI: 10.1016/j.ejrs.2024.03.005
Eshita A. Eva , Luke J. Marzen , Jasmeet Singh Lamba

The land use and land cover (LULC) of a watershed play an important role in controlling its hydrological processes. With the help of applying the Soil and Water Assessment Tool (SWAT), this study aims to quantify the impact of changing LULC on hydrological responses and water quality in the Big Creek Lake watershed in Mobile County, South Alabama. A number of data sources were input into the SWAT model as part of its calibration and validation, including land use and land cover (LULC), weather variables, digital elevation models (DEMs), soil properties, and measured streamflows. The total monthly streamflow increased by about 62 m3/s and the average nitrogen and phosphorus are estimated to have increased by about 3,172 kg/Ha and 892 kg/Ha per year respectively over the thirty years because of the increasing agricultural land (11,406 acres), urban development (3,350 acres), and decreasing forested areas (11,482 acres). This research could be helpful for water resource managers and planners by incorporating the results in the monitoring and planning for the future.

流域的土地利用和土地覆被 (LULC) 在控制流域的水文过程中发挥着重要作用。在水土评估工具 (SWAT) 的帮助下,本研究旨在量化 LULC 变化对南阿拉巴马州莫比尔县大溪湖流域水文响应和水质的影响。作为校准和验证工作的一部分,SWAT 模型中输入了大量数据源,包括土地利用和土地覆被 (LULC)、天气变量、数字高程模型 (DEM)、土壤特性和测量的溪流。由于农业用地(11,406 英亩)、城市发展(3,350 英亩)和森林面积(11,482 英亩)的增加,三十年来每月总流量增加了约 62 立方米/秒,平均氮和磷估计每年分别增加约 3,172 公斤/公顷和 892 公斤/公顷。这项研究可将结果纳入未来的监测和规划中,从而对水资源管理者和规划者有所帮助。
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引用次数: 0
期刊
Egyptian Journal of Remote Sensing and Space Sciences
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